Total hits 17.393
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Arbeit hat Zukunft - auch digital
Weber, E. (2017): Arbeit hat Zukunft - auch digital. In: Arbeit und Arbeitsrecht, Vol. 65, No. 11, p. 628.
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The scars of youth
Schmillen, A. & Umkehrer, M. (2018): The scars of youth. Effects of early-career unemployment on future unemployment experience. In: International Labour Review, Vol. 156, No. 3/4, p. 465-494. DOI:10.1111/ilr.12079
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Integrating survey and learning analytics data for a better understanding of engagement in MOOCs
Samoilova, E., Keusch, F. & Kreuter, F. (2018): Integrating survey and learning analytics data for a better understanding of engagement in MOOCs. In: H. Jiao, R. W. Lissitz & A. V. Wie (Hrsg.) (2018): Data analytics and psychometrics : Informing assessment practices, Charlotte, N.C., Information Age Publishing p. 247-261.
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Are there international differences in individual travel mode choice?
Brunow, S. (2018): Are there international differences in individual travel mode choice? An econometric cross-country study (im Erscheinen). In: Research in Transportation Business & Management.
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Distribution of working-time accounts and its establishment-specific determinants
Zapf, I. (2018): Verbreitung und betriebliche Bestimmungsfaktoren von Arbeitszeitkonten. In: Industrielle Beziehungen, Vol. 25, No. 1, p. 51-71. DOI:10.3224/indbez.v25i1.03
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The Effects of Biological Data Collection in Longitudinal Surveys on Subsequent Wave Nonresponse
Pashazadeh, F., Cernat, A. & Sakshaug, J. (2021): The Effects of Biological Data Collection in Longitudinal Surveys on Subsequent Wave Nonresponse. In: P. Lynn (Ed.) (2021): Advances in Longitudinal Survey Methodology, p. 100-121.
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Investigating the use of nurse paradata in understanding nonresponse to biological data collection
Pashazadeh, F., Cernat, A. & Sakshaug, J. (2020): Investigating the use of nurse paradata in understanding nonresponse to biological data collection. In: K. Olson, J. D. Smyth, J. Dykema, A. Holbrook, F. Kreuter & B. T. West (Eds.) (2020): Interviewer effects from a total survey error perspective.
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Combining Scientific and Non-scientific Surveys to Improve Estimation and Reduce Costs
Sakshaug, J., Wiśniowski, A., Perez-Ruiz, D. & Blom, A. (2021): Combining Scientific and Non-scientific Surveys to Improve Estimation and Reduce Costs. In: T. Rudas & G. Péli (eds.) (2021): Pathways between social science and computational social science, Springer p. 71-93. DOI:10.1007/978-3-030-54936-7_4
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Collection of biomeasures in a cross-national setting
Weiss, L., Sakshaug, J. & Börsch-Supan, A. (2018): Collection of biomeasures in a cross-national setting. Experiences in SHARE. In: T. P. Johnson, B.- E. Pennell, I. Stoop & B. Dorer (Hrsg.) (2018): Advances in comparative survey methods : multinational, multiregional and multicultural contexts (3MC), p. 623-642.
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Estimating the Measurement Effects of Mixed Modes in Longitudinal Studies
Cernat, A. & Sakshaug, J. (2021): Estimating the Measurement Effects of Mixed Modes in Longitudinal Studies. Current Practice and Issues. In: P. Lynn (Ed.) (2021): Advances in Longitudinal Survey Methodology, p. 227-249.
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Producing Official Statistics during the COVID-19 Pandemic
Jones, J., Ryan, L., Lanyon, A., Apostolou, M., Price, T., König, C., Volkert, M., Sakshaug, J., Mead, D., Baird, H., Elliott, D. & McLaren, C. (2023): Producing Official Statistics during the COVID-19 Pandemic. In: G. Snijkers, M. Bavdaž, S. Bender, S. MacFeely, J. Sakshaug, K. J. Thompson & A. v. Delden (Hrsg.) (2023): Advances in Business Statistics, Methods and Data Collection, p. 225-264.
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Why should(n’t) refugees be asked about their possessions? A research-ethical and methodological reflection on my fieldwork in a refugee shelter
Höpfner, E. (2022): Why should(n’t) refugees be asked about their possessions? A research-ethical and methodological reflection on my fieldwork in a refugee shelter. In: F. Yi-Neumann, A. Lauser, A. Fuhse & P. J. Bräunlein (Hrsg.) (2022): Material Culture and (Forced) Migration, London, UCL Press p. 84-98.
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Methods to Estimate Causal Effects
Collischon, M. (2022): Methods to Estimate Causal Effects. An Overview on IV, DiD and RDD and a Guide on How to Apply them in Practice. In: Soziale Welt, Vol. 73, No. 4, p. 713 -735. DOI:10.5771/0038-6073-2022-4-713



